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jules_create_worker

Create a new AI worker session to execute development tasks like code generation, bug fixing, and review using git-integrated multi-agent workflows.

Instructions

Create a new Jules worker session for a task

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
task_descriptionYesDescription of task for the worker
sourceYesGitHub source (format: "sources/github/owner/repo")
titleYesShort title for the session
github_branchNoBranch to work on (optional, default: "main")main
roleNoWorker role (MAESTRO, CREW, FREELANCER, EVALUATOR)FREELANCER
parent_session_idNoID of parent worker (if CREW)
Behavior2/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries full burden for behavioral disclosure. It mentions 'create' which implies a write/mutation operation, but fails to describe permissions needed, side effects, session lifecycle, or response format. This is inadequate for a creation tool with zero annotation coverage.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single, efficient sentence that directly states the tool's purpose without unnecessary words. It's appropriately sized and front-loaded, making it easy to parse quickly.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness2/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a creation tool with 6 parameters, no annotations, and no output schema, the description is insufficient. It doesn't explain what a 'Jules worker session' entails, how it's used, what happens after creation, or any behavioral traits. The agent lacks critical context for proper tool invocation.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 100%, so all parameters are documented in the schema. The description adds no additional parameter context beyond implying a 'task' context, which is already covered by the 'task_description' parameter. Baseline 3 is appropriate when the schema does the heavy lifting.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description clearly states the action ('Create') and resource ('new Jules worker session for a task'), making the purpose understandable. It distinguishes from siblings like 'jules_get_activities' (read) and 'jules_send_message' (communication), but doesn't explicitly differentiate beyond the basic verb. A 5 would require more specific sibling differentiation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines2/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The description provides no guidance on when to use this tool versus alternatives, prerequisites, or contextual constraints. It simply states what it does without indicating appropriate scenarios or exclusions, leaving the agent with minimal usage direction.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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